Image-Analysis-with-Matlab

THIS CODE FOR take photo in webcam,very usefull

吊车双摆系统的仿真 说明了pid控制方法的局限性(Crane double pendulum system simulation illustrates the limitations of pid control)

new algorithm for estimation in every field of science for matlab implementation mostly

说明：  遗传算法求解优化问题的一个程序，学习matlab时可以参考一下(Genetic Algorithm Optimization of a process)

这个是一个自己做的程序，可以进行相关的操作，初学者(This is a program to do their own, can be related to the operation, for beginners)

说明：  EM算法作为机器学习的经典算法，本算法为EM源程序，陪带实验(EM algorithm as the classic machine learning algorithms, the source of the EM algorithm, to accompany with the experimental)

本文对汉明分类器进行了介绍，并在matlab中实现了汉明分类器，最后对汉明分类器的结果进行分析(In this paper, Hamming classifier was introduced and implemented in matlab Hamming classifier, the last of the Hamming classifier of the results)

说明：  内含PDF文档有效的解释了三维重构的基本原理以及可以基于Matlab导成三维有限元模型(The PDF document effectively explains the basic principle of three-dimensional reconstruction and can be derived into three-dimensional finite element model based on matlab.)

Newton Rhapson using matlab

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)